v1.0.0-alpha.5

Author: t83714

README.md

@@ -1,6 +1,6 @@
 # magda-pdf-semantic-indexer
 
-![Version: 1.0.0-alpha.0](https://img.shields.io/badge/Version-1.0.0--alpha.0-informational?style=flat-square)
+![Version: 1.0.0-alpha.5](https://img.shields.io/badge/Version-1.0.0--alpha.5-informational?style=flat-square)
 
 A Helm chart for Magda PDF Semantic Indexer
 
@@ -29,12 +29,10 @@ Kubernetes: `>= 1.14.0-0`
 | defaultSemanticIndexerConfig.bulkEmbeddingsSize | int | `1` |  |
 | defaultSemanticIndexerConfig.bulkIndexSize | int | `50` |  |
 | defaultSemanticIndexerConfig.chunkSizeLimit | int | `512` |  |
-| defaultSemanticIndexerConfig.chunkSizeLimit | int | `512` |  |
 | defaultSemanticIndexerConfig.id | string | `"pdf-semantic-indexer"` |  |
 | defaultSemanticIndexerConfig.indexName | string | `"semantic-index"` |  |
 | defaultSemanticIndexerConfig.indexVersion | int | `1` |  |
 | defaultSemanticIndexerConfig.overlap | int | `50` |  |
-| defaultSemanticIndexerConfig.overlap | int | `50` |  |
 | embeddingApiURL | string | `"http://magda-embedding-api"` |  |
 | global | object | `{"image":{},"rollingUpdate":{},"searchEngine":{"defaultDatasetBucket":"magda-datasets","semanticIndexer":{"indexName":null,"indexVersion":null,"knnVectorFieldConfig":{"compressionLevel":"32x","dimension":768,"efConstruction":100,"efSearch":100,"m":16,"mode":"on_disk","spaceType":"l2"},"numberOfReplicas":0,"numberOfShards":1}}}` | only for providing appropriate default value for helm lint |
 | global.searchEngine.semanticIndexer.knnVectorFieldConfig.compressionLevel | string | `"32x"` | The compression_level mapping parameter selects a quantization encoder that reduces vector memory consumption by the given factor. |
@@ -51,8 +49,9 @@ Kubernetes: `>= 1.14.0-0`
 | minioConfig.useSSL | bool | `false` |  |
 | opensearchURL | string | `"http://opensearch:9200"` |  |
 | port | int | `6305` | Service port configuration |
-| resources.limits.cpu | string | `"100m"` |  |
-| resources.requests.cpu | string | `"50m"` |  |
+| resources.limits.cpu | string | `"500m"` |  |
+| resources.limits.memory | string | `"512Mi"` |  |
+| resources.requests.cpu | string | `"100m"` |  |
 | resources.requests.memory | string | `"200Mi"` |  |
 | semanticIndexer.bulkEmbeddingsSize | int | `nil` | number of string we request embedding api to process in one request |
 | semanticIndexer.bulkIndexSize | int | `nil` | Number of documents we send to OpenSearch for bulk processing in a single request |

deploy/magda-pdf-semantic-indexer/Chart.yaml

@@ -1,6 +1,6 @@
 apiVersion: v2
 name: magda-pdf-semantic-indexer
-version: 1.0.0-alpha.0
+version: 1.0.0-alpha.5
 kubeVersion: ">= 1.14.0-0"
 description: A Helm chart for Magda PDF Semantic Indexer
 home: "https://github.com/magda-io/magda-pdf-semantic-indexer"

package.json

@@ -1,6 +1,6 @@
 {
     "name": "@magda/magda-pdf-semantic-indexer",
-    "version": "1.0.0-alpha.0",
+    "version": "1.0.0-alpha.5",
     "description": "Magda PDF Semantic Indexer",
     "type": "module",
     "files": [